Online Public Access Catalogue (OPAC)
Library,Documentation and Information Science Division

“A research journal serves that narrow

borderland which separates the known from the unknown”

-P.C.Mahalanobis




xxiv, 791 p. : illustrations ; 26 cm. Content notes : 1. Statistical models and social science --
2. What is regression analysis? --
3. Examining data --
4. Transforming data --
5. Linear least-squares regression --
6. Statistical inference for regression --
7. Dummy-variable regression --
8. Analysis of variance --
9. Statistical theory for linear models --
10. The vector geometry of linear models --
11. Unusual and influential data --
12. Diagnosing non-normality, nonconstrant error variance, and nonlinearity --
13. Collinearity and its purported remedies --
14. Logit and probit models for categorical response variables --
15. Generalized linear models --
16. Time-series regression and generalized least squares --
17. Nonlinear regression --
18. Nonparametric regression --
19. Robust regression --
20. Missing data in regression models --
21. Bootstrapping regression models --
22. Model selection, averaging, and validation --
23. Linear mixed-effects models for hierarchical and longitudinal data --
24. Generalized linear and nonlinear mixed-effects models --
Appendices. Linear models (Statistics) Social sciences - Statistical methods.

Library, Documentation and Information Science Division, Indian Statistical Institute, 203 B T Road, Kolkata 700108, INDIA
Phone no. 91-33-2575 2100, Fax no. 91-33-2578 1412, ksatpathy@isical.ac.in


Visitor Counter